| split | PSNR | SSIM |
|---|---|---|
| val n=60 | 13.6132 | 0.4369 |
- Same architecture, same data and the same 200-epoch budget as pix2pix-facades, with the adversarial term switched off. The budget is held identical on purpose so the only difference between the two runs is the loss. - Measured on the same 60-image validation split: the L1-only arm scores higher on BOTH reference metrics, +0.916 dB PSNR and +0.044 SSIM. The common framing - that L1 wins PSNR while the adversarial arm wins on perceptual quality - is only half supported here, because SSIM favours L1 too. - So the metrics do not settle which output looks better; that is what the sample panels are for. Neither PSNR nor SSIM is a perceptual score, and no perceptual metric was run.












Code and full results on GitHub
Every number is read from the file the run produced. github.com/hammasbuilds · kaggle.com/muhammadhammas13